พิมพ์ผลลัพธ์เป็นรายการ

Question

รหัสต่อไปนี้ทำงานได้ดี รวบรวมข้อมูลตามรายชื่อบน LinkedIn

(ข้อมูลบัญชีที่ให้และใช้งานได้ฟรีเนื่องจากเป็นบัญชีทดสอบ)

อย่างไรก็ตามเอาต์พุตจะรวมข้อมูลแทนที่จะเป็นฟิลด์ที่มีฟิลด์ของตัวเอง

ฉันต้องการให้ ouput พิมพ์ใน Excel พร้อมกับแต่ละฟิลด์ในพจนานุกรม (ชื่อ บริษัท ตำแหน่งที่ตั้ง) ในคอลัมน์ของตัวเองโดยให้ผลลัพธ์อยู่ในเซลล์ของตัวเอง

ดูที่แนบมาสำหรับตัวอย่างของผลลัพธ์ที่คาดหวัง -

ฉันได้ลอง beautifulSoup แล้ว แต่ไม่คิดว่าจะได้ผล

import time
import pandas as pd
from selenium import webdriver
from bs4 import BeautifulSoup
import requests
from selenium.webdriver.chrome.options import Options
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from webdriver_manager.chrome import ChromeDriverManager
test1=[]
options = Options()
driver = webdriver.Chrome(ChromeDriverManager().install())

url = "https://www.linkedin.com/uas/login?session_redirect=https%3A%2F%2Fwww%2Elinkedin%2Ecom%2Fsearch%2Fresults%2Fpeople%2F%3FcurrentCompany%3D%255B%25221252860%2522%255D%26geoUrn%3D%255B%2522103644278%2522%255D%26keywords%3Dsales%26origin%3DFACETED_SEARCH%26page%3D2&fromSignIn=true&trk=cold_join_sign_in"
driver.get(url)
time.sleep(2)

username = driver.find_element_by_id('username')
username.send_keys('[email protected]')
password = driver.find_element_by_id('password')

password.send_keys('Applesauce1')
password.submit()
driver.execute_script("window.scrollTo(0, document.body.scrollHeight);")

time.sleep(3)

elementj=(WebDriverWait(driver,10).until(EC.visibility_of_all_elements_located((By.CSS_SELECTOR,".subline-level-2.t-12.t-black--light.t-normal.search-result__truncate"))))
place1=[j.text for j in elementj]


elementk=WebDriverWait(driver,10).until(EC.visibility_of_all_elements_located((By.CSS_SELECTOR,".subline-level-1.t-14.t-black.t-normal.search-result__truncate")))
compan=[c.text for c in elementk]


element1 = driver.find_elements_by_class_name("actor-name")
title=[t.text for t in element1]


diction={"Location":place1,"Company":compan,"Title":title}
test1.append(diction)
print(test1)

Answer 1

ฉันเรียกใช้รหัสของคุณได้

นี่คือสิ่งที่ฉันได้รับด้วยความช่วยเหลือจากวิธีที่มีประสิทธิภาพไปจนถึงคอลัมน์รายการหลายรายการที่ไม่สมบูรณ์ (ระเบิด) ในแพนด้า DataFrame

import time
import pandas as pd
import numpy as np
from selenium import webdriver
from bs4 import BeautifulSoup
import requests
from selenium.webdriver.chrome.options import Options
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from webdriver_manager.chrome import ChromeDriverManager
test1=[]
options = Options()
driver = webdriver.Chrome(ChromeDriverManager().install())

url = "https://www.linkedin.com/uas/login?session_redirect=https%3A%2F%2Fwww%2Elinkedin%2Ecom%2Fsearch%2Fresults%2Fpeople%2F%3FcurrentCompany%3D%255B%25221252860%2522%255D%26geoUrn%3D%255B%2522103644278%2522%255D%26keywords%3Dsales%26origin%3DFACETED_SEARCH%26page%3D2&fromSignIn=true&trk=cold_join_sign_in"
driver.get(url)
time.sleep(2)

username = driver.find_element_by_id('username')
username.send_keys('[email protected]')
password = driver.find_element_by_id('password')

password.send_keys('Applesauce1')
password.submit()
driver.execute_script("window.scrollTo(0, document.body.scrollHeight);")

time.sleep(3)

elementj=(WebDriverWait(driver,10).until(EC.visibility_of_all_elements_located((By.CSS_SELECTOR,".subline-level-2.t-12.t-black--light.t-normal.search-result__truncate"))))
place1=[j.text for j in elementj]


elementk=WebDriverWait(driver,10).until(EC.visibility_of_all_elements_located((By.CSS_SELECTOR,".subline-level-1.t-14.t-black.t-normal.search-result__truncate")))
compan=[c.text for c in elementk]


element1 = driver.find_elements_by_class_name("actor-name")
title=[t.text for t in element1]


diction={"Location":place1,"Company":compan,"Title":title}
test1.append(diction)
print(test1)

df = pd.DataFrame(test1)

def explode(df, lst_cols, fill_value=''):
    # make sure `lst_cols` is a list
    if lst_cols and not isinstance(lst_cols, list):
        lst_cols = [lst_cols]
    # all columns except `lst_cols`
    idx_cols = df.columns.difference(lst_cols)

    # calculate lengths of lists
    lens = df[lst_cols[0]].str.len()

    if (lens > 0).all():
        # ALL lists in cells aren't empty
        return pd.DataFrame({
            col:np.repeat(df[col].values, df[lst_cols[0]].str.len())
            for col in idx_cols
        }).assign(**{col:np.concatenate(df[col].values) for col in lst_cols}) \
          .loc[:, df.columns]
    else:
        # at least one list in cells is empty
        return pd.DataFrame({
            col:np.repeat(df[col].values, df[lst_cols[0]].str.len())
            for col in idx_cols
        }).assign(**{col:np.concatenate(df[col].values) for col in lst_cols}) \
          .append(df.loc[lens==0, idx_cols]).fillna(fill_value) \
          .loc[:, df.columns]

explode(df,['Location','Company','Title'])

และผลลัพธ์

    Location            Company                                 Title
0   Dayton, Ohio Area   National Account Executive              LinkedIn Member
1   Dayton, Ohio Area   Currently seeking permanent employment  LinkedIn Member
2   Dayton, Ohio Area   Account Manager at LexisNexis           LinkedIn Member
3   Greater Denver Area Currently seeking new opportunities in managem...   LinkedIn Member
4   Dayton, Ohio Area   Advertising Sales Representative at AMOS MEDIA  LinkedIn Member
5   Dayton, Ohio Area   Territory Manager at Huntington Outdoor, LLC    LinkedIn Member
6   Vandalia, Ohio, United States   Cintas  LinkedIn Member
7   Dayton, Ohio Area   Outside Sales Representative at Carter Lumber.  LinkedIn Member
8   Dayton, Ohio Area   Actively Searching  LinkedIn Member
9   Corpus Christi, Texas Area  Currently looking for sales position    LinkedIn Member